. Figure 4: Project and Course TimelinePhase IObservation of Teaching: Observation of teaching was done on 3 separate occasions. Since thecourse was split into the theory portion (10 weeks) and the design portion (5 weeks), teachingpractices were observed for each segment. Additionally, observation of teaching was conductedwith a view to gauge the classroom environment and the interaction of the students with eachother, as well as with the instructor. Inspection of the students as they asked questions regardingthe homework and worked through in class-activities on BioWin was critical to understand theirreceptiveness to the course.Analysis of Course Design: The other component of analysis was the course design. Readingthrough the syllabus and
five design courses that civilengineering students must complete to satisfy their fourth-year degree requirements in theauthor’s institute. This is a project-based course that emphasizes active learning and integratesreal-world examples and case studies throughout. The course includes a group design project, sixhomework assignments, four reading quizzes, three exams, and weekly discussions. In Fall 2024,twenty-seven students enrolled and successfully completed the course. A syllabus statementadhering to the university's recommended language was included to address the use of GenAItools in the course (refer to Appendix A). This ensured that students were clearly informed of theexpectations and guidelines for using GenAI within the
investigations on enhancing creativity and innovation, supporting better documentation, and encouraging collaborative learning. ©American Society for Engineering Education, 2025Complete Paper: A Student Classification and Characterization Model of Generative AIUse in First-Year Engineering DesignAbstractThis paper presents a student classification and characterization model of generative AI usagewithin a first-year engineering design course at a mid-sized university. The study explores how acollection of custom-built generative AI chatbots shaped unique student learning trajectories. Itfocuses on four distinct learner categories: Self-Reliant, Pioneering, Overwhelmed, and Engagedlearners. This paper also highlights case
and techniques areemphasized. The final module, module three, is sustainability focused, with student teamsidentifying a problem local to their campus, prototyping solutions, and testing the feasibility oftheir designs for their intended context. The third module features introductions of a three-pillarmodel of sustainability (environmental, economic, equity), the principles of Universal Design(UD), and character-based professional ethics.There are seven instructors at the study institution, all of whom teach both Fall and Springsemester courses in sequence. There is a shared syllabus and course plan, though individualinstructors retain freedom to plan their lectures and activities in the way that best suits them.That is to say, all
Paper ID #47379Fostering Effective & Enduring Advocacy in STEM: Exploring the Role ofCommunity Through a Collaborative AutoethnographyDr. Jacqueline Rose Tawney, California Institute of TechnologyDr. Morgan L Hooper, University of Toronto After completing her PhD at the Graduate Aerospace Laboratories of the California Institute of Technology (GALCIT), Morgan Hooper is now an Assistant Professor (Teaching Stream) at the University of Toronto. There, her teaching focuses on building community within hands-on Engineering Design courses and beyond. She encourages students to engage with multi-faceted, trans-disciplinary
. 8 17, 2025. [Online]. Available: https://peer.asee.org/promoting-diversity-equity-and- inclusion-through-culture-related-design-in-first-year-engineering-curriculum-a-work-in- progress[16] L. Dodson et al., “How Role-Playing Builds Empathy and Concern for Social Justice.”[17] C. D. Heising and M. E. Goodwin, “UNDERGRADUATE ENGINEERING DIVERSITY COURSE: WOMEN AND MEN IN THE ENGINEERING WORKPLACE,” in 2003 ASEE North Midwest Section Conference Proceedings, Iowa State University, Ames, Iowa: ASEE Conferences, Oct. 2003, p. 52164. doi: 10.18260/1-2-1153-52164.[18] K. Cantilina, “Supporting Aspirations for a More Just Future: Exploring Equity Centered Engineering and Design Practice,” Thesis, 2023. doi: 10.7302/8286.[19] T
of documentation, the need to “reinvent thewheel” and 2) responding to the crisis in student mental health by equipping the instructionalteam to recognize and support students in crisis. To address these goals, we created a Teams siteto centralize general and course-specific resources accessible to all TAs. We also developed a TAcontract template to document roles and responsibilities, encouraging faculty to adopt it in theircourses. Faculty were asked to hold weekly meetings with their TAs to discuss weeklyexpectations and address concerns or questions, fostering consistent communication.Additionally, TAs were required to complete the university’s online Suicide Prevention Training,a program all department faculty had already completed. To
a lasting impacton the habits of future engineers.References[1] W. A. Jadayil, “The Importance of Class Attendance and Cumulative GPA for Academic Success in Industrial Engineering Classes,” 2012. [Online]. Available: https://www.researchgate.net/publication/275494281[2] A. A. Permana, A. Kusnadi, A. N. Marpaung, E. Dela Marcela, N. Yuasan, and S. Fauziyah, “Effect of Zoom fatigue on health and learning loss in students during the COVID-19 pandemic,” Jurnal Inovasi Teknologi Pendidikan, vol. 10, no. 1, pp. 22–32, Mar. 2023, doi: 10.21831/jitp.v10i1.52930.[3] L. K. Fryer, P. Ginns, M. Howarth, C. Anderson, and S. Ozono, “Individual differences and course attendance: why do students skip class
experiences of students developing CapstoneProjects will be addressed in different studies which are currently work in progress.Data gathering: The study's data gathering process included a review of the literature oninformation literacy frameworks, theories and models, with a particular interest in the ACRLFramework [8], Metaliteracy [9], Maker Literacies [10], and case studies addressing theconnections, similarities and intersections across frameworks [27]. Once that access was grantedto the course syllabus and online course space, it was considered to identify: • Overall course goals and student learning goals • Capstone Project timeline, phases, milestones and deliverables • Capstone Project management model, tools and strategies.Data
program utilizes an Academic Advising Syllabus to guide students through the first year ofengineering studies, and eight desired learning outcomes to guide their work. By the end of thefirst year of academic advisement in the Swanson School of Engineering, students will: • Establish a network and know how to use it • Know how to use technology resources • Understand the options of engineering majors/programs and make a department selection • Understand basic policies and procedures, or know from whom or how to get the information online • Master time management so as to be successful beyond the first year • Gain academic self-awareness/knowledge of academic strengths and weaknesses • Understand the value that
is a critical needto create and publicize shared materials addressing this gap. Developing diverse teachingmaterials that influence future generations is best achieved through collaborative efforts. Wehope this paper can help kickstart a collaborative effort within the engineering educationcommunity, bringing together resources that help students understand how diversity in race,gender, social background, cultural perspectives, economic status, and other differences canimpact engineering decisions.In this paper, we present the collaborative method implemented by the Mechanical Engineeringdepartment at Pennsylvania State University to develop teaching material that incorporatesholistic awareness into core courses, encompassing thermodynamics
undergraduate mentors.traditionally been reserved for upper-level students, especially • Administration of online/in-class surveys with agraduate-level seniors. The following Project Achieve course sampling of participating students to collect feedbackobjectives are expected to engage early enrolled students in on their perception of the project's impact onthe 'engineering process' rather than traditional first-year understanding and engagement in research, potentialprimarily foundational lecture-type courses to encourage early changes in persistence through graduation, andengagement, interest, and future career thinking. possible career options. 1. To
from student learning goals and outcomes using adesign-based approach [32], [33] generally back to activities and evidence of learning, thenfinally back to instructional approaches and content. This aligns the educational design approachwith an engineering approach [33] and an engineering education style. Importantly, it isconsidered “backwards” because it contrasts with the usual approach of learning design thatsimply covers a certain number of chapters of a textbook, for example, and moves forward towhat the students might learn from the content [33] or perhaps starts with the syllabus and againmoves forward from there [35]. Applying backwards design is useful at both the course [36] andprogrammatic [37] levels for academic programs. This
publication for the journal’s May 2024 deadline.J ATE URE program approachCommunity college faculty applied to participate in the J ATE URE program. Eleven facultywere selected and each nominated between 1 and 3 students to work with. 23 undergraduatestudents were selected, forming 12 writing teams (one faculty was on two teams). Four of theURE faculty also fully participated in Connect as writers or coaches and an additional two wereable to attend the Connect workshop in January. There was great diversity among the faculty:they had different levels of experience with writing to publish; they mentored communitycollege research in several formats, including Course-based Undergraduate ResearchExperiences (CUREs), funded research that provided students
First Year Sophomore Not Specified 22 7 3Theme 1: Curriculum DesignFig. 3.: Curriculum Design BreakdownAll thirty-two scholarly articles we incorporated in this study presented insights regarding the effectivemethodologies in integrating microelectronics and microcontrollers within their educationalframeworks. A minority of the articles (6.2%) concentrated on a novel pedagogical strategy (New Course)to embed extensive, practical projects into the microelectronics syllabus. The authors ensured that thecoursework and projects undertaken by the students effectively addressed the competencies deficit(Rumpf et al
frequent check-ins and dialogues between projectgroups and instructors to refine their work. We include a condensed syllabus in Appendix A, anda more detailed description of the course can be found in [31]. Relevant to the purpose of this article, the material we featured related to social changewas predominantly included in the practice section. The section began with readings fromGuendelsberger’s On the Clock [13] discussing worker resistance to Taylorist surveillance, andfrom Browne’s Dark Matters [6] as she described enslaved people’s resistance againstslaveholders in the United States. It continued by featuring a panel of local communityorganizers and city politicians who spoke about their work and engaged in dialogue withstudents
similarity method for other applications in EngE research, such as evaluatingalignment between course learning outcomes and ABET criteria. Embeddings are becomingmore popular in EngE. In a recent study, researchers explored the potential uses of embeddingsin EngE research. Their applications included qualitative analysis, course syllabus evaluation,and cross-disciplinary research [30]. Applications like these, as well as comparing courselearning outcomes to ABET criteria, focus on identifying patterns, relationships, and alignmenton text-based datasets to gain insight that may inform important aspects of EngE, such ascurriculum design and accreditation processes, showing its value in EngE research.ConclusionIn this study we integrated qualitative
shows an example of the student project outcomes, which include the implementationcode snippets, results, and presentation summary. Classification and regression models are usedto analyze the power plant operation datasets downloaded from Keggle [20]. Student projectswere implemented on Microsoft Azure or Google Colab. Table 1 includes the student assessmentresults in CS413/520 regarding the learning outcomes and the ABC rates (only grades A,B, andC are considered as “Pass” according to the computer science curriculum in the university). Thebase line data in Fall 2023 (without ProjBL) and the new data in Fall 2024 (with ProjBL) arecompared. The same instructor taught the course using the same syllabus. And the same courselearning outcomes have
University. Our studyaddresses a fundamental question: How do current AI tools perform on typical courseassessments, and what implications does this have for curriculum design?We introduce a systematic methodology for benchmarking LLM performance on our courseassessments, including exams, assignments, and projects. Utilizing state-of-the-art LLMs, weevaluate their capabilities across core courses in our EE and CpE programs. This includesCircuits I (ECE 205), Digital Design (ECE 287), Energy Systems (ECE 291), and Signals andSystems (ECE 306). Our benchmarking results reveal the strengths and limitations of these AItools in engineering education tasks, providing insights for curriculum adaptation. We discusshow these results might inform the
NA Totals 102 71.5 Table 4: LLM performance in ECE 287worth. Column 3 shows Claude’s evaluated response score, which shows whether the LLM cando it (green) or not (red). Column 4 shows the prompts level in Jamieson’s LLM prompttaxonomy presented earlier.For the letter grade mapping the instructor uses in his syllabus, we can say that the LLM forassessments would score a letter grade of a “C” for the artifacts it generates. Of note, exams I andII are done live in the classroom, but all the activities are done in the lab or out of class.5 DiscussionSo far, we have specified a method for benchmarking engineering courses for LLM chatbots. Ingeneral, we believe that engineering
majors. This context creates a logjam, with no clear indication ofwhat the course should and should not include. But the course’s vague title and multiplerequirements afforded me the opportunity to integrate history of technology into my students’already crowded engineering curricula.The course syllabus design reflects my own perspective on the engineering profession, based onmy training and professional experience both as a historian of technology and as an engineer. Iselectively draw from the wide range of available sources, relying heavily upon the work ofscholars from history of technology, engineering studies, and engineering ethics. The course’sstructure follows the seminar model: nineteen students are put in small groups to
to share their stories through authorship of engineering educationliterature.How this paper took root: Contending with institutional ‘EDI.I’JT: The idea for this paper started with the question: “Why do we learn to incorporate Indigenousbuilding design principles without questioning why our buildings are constructed on stolenlands?” This question came up for me two years ago while taking a geography seminar course,engaging with decolonial and critical Indigenous theories for the fourth time. In this course, webegan unpacking the colonial assumptions and practices of academia. At this point, I had startedengaging with ‘EDI.I’ initiatives and research within engineering education. Upon readingUnsettling the University by Sharon Stein [13], the
aroundspecific DEI topics to support the teaching-learning process and students as culturally competentfuture engineers, (2) build mentorship capacity by connecting faculty with experts in various DEIspaces, (3) embed inclusive and equity in teaching using the Universal Design for Learning(UDL) framework, (4) increase access to DEI-related resources and provide course redesignsupports, (5) create organizational change across the College of Engineering to prioritizeuncommon voices and create a learning environment where all students feel respected, and (6)foster a cross-disciplinary community of faculty across the College of Engineering acting aschange agents for DEI in engineering education.Our year-long program is conducted in two phases using a cohort
influences the utilisation of educational research by policy-makers and practitioners?: The perspectives of academic educational researchers,” International Journal of Educational Research, vol. 56, pp. 23–34, 2012.[73] M. Bandukda and C. Holloway, “Young hci: Promoting disability and accessibility awareness among young people,” 2024.[74] M. A. Fuentes, D. G. Zelaya, and J. W. Madsen, “Rethinking the course syllabus: Considerations for promoting equity, diversity, and inclusion,” Teaching of Psychology, vol. 48, no. 1, pp. 69–79, 2021.[75] R. Brooks and S. D. Grady, “Course design considerations for inclusion and representation,” A quality matters white paper, 2022.[76] C. Holloway and G. Barbareschi, Disability
. Finally, the Conclusion summarizes our findings and discusses their implications for theteaching of complex topics in engineering education.MethodsBackgroundThis study was conducted in two sections of a sophomore-level “ES204 Dynamics” course atEmbry-Riddle Aeronautical University (Daytona Beach campus) taught by the lead author duringthe Fall 2023 semester. The course is a required component for most engineering majors andtypically enrolls approximately 35 students per section. The same instructor also taught the Spring2023 sections, which served as the comparison group, using the same syllabus, textbook, andassessment structure. All instruction was delivered in person. The redesigned instructionalapproach based on the 4C/ID model was
, biomechanics, data science, embedded systems, and control of MASs,among others. Students enrolled in the Control of MASs course learn about graph theory as arepresentation of MASs, connectivity maintenance, consensus, formation control, navigation viaartificial potential field functions, and coverage control. A complete list of topics ischronologically ordered in Table 1. The course syllabus follows a structure of two 50-minute Table 1: Control of Multi-Agent Systems Topics Topics Lecture Hours Laboratory Hours Intro to MASs 1 2* Set Theory and Graph Theory 2 – Adjacency
.” While this and similar stakeholders identified are obvious, they remainrelevant consideration in the different scenarios.LimitationsThe prompt for the assignment implied that students should select a single engineering disciplinethat would be best suited for the job postings. While not explicitly stated, this might have ledstudents to narrow the field of engineering majors that would have been suitable fits for theduties, skills, and knowledge requisite for the job.The distinct impact of the scenario-based approach described in this study could be moreeffectively assessed through a comparison with data from sections using the traditional producttake-apart approach, which was not conducted.While the course policies stated in the syllabus
aspects of data communication. A key component of the course involved conductinginterviews, which required students to gather data effectively and engage deeply withcommunication dynamics and interpersonal skills. To prepare students for these interactions, adedicated online learning module on communication was integrated into the curriculum.Online Module on CommunicationThis communication module was designed to build foundational skills essential for effective,ethical, and empathetic communication. Topics included perspective-taking, which encouragedstudents to consider and understand the viewpoints of others to enhance collaboration andminimize miscommunication. The module also addressed implicit bias, helping studentsrecognize and mitigate
technological innovation; 2) for thecommunity, to foster the connection between research and business such as patent, incubation,and venture [9]. Entrepreneurship in higher education is playing a crucial role in linkingacademic research and potential business. Although some studies have investigatedentrepreneurship efficiency by designing engineering courses [10] [11] and evaluatingentrepreneurial activities [6] [12], there was a lack of studies focusing on the entrepreneurialpatent pathway program in doctoral education. The purpose of this case study is to understandthe perceptions and experiences of doctoral students and faculty regarding how the alternativepatent defense pilot program in STEM disciplines influences an individual’s
asked to falsifydata (Diana Bairaktarova - DB). The course introduced the speakers via the syllabus, whichprovided a description of their profile and a profile photo (Table 2). The timing of eachsession was linked to specific lecture content, as seen in Table 1.Table 2. Organisation of living library sessions Order Guest speaker / Storyteller Linked lecture(s) of thematic sessions 1 Laura Nolan is a software engineer with two decades of Risk and uncertainty experience, with a focus on reliability in distributed in decision-making systems. In 2018, Laura left Google after being asked to